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Residential End-Use Energy Estimation Models in Korean Apartment Units through Multiple Regression Analysis
- Title
- Residential End-Use Energy Estimation Models in Korean Apartment Units through Multiple Regression Analysis
- Authors
- Lee, Soo-Jin; Kim, You-Jeong; Jin, Hye-Sun; Kim, Sung-Im; Ha, Soo-Yeon; Song, Seung-Yeong
- Ewha Authors
- 송승영
- SCOPUS Author ID
- 송승영
- Issue Date
- 2019
- Journal Title
- ENERGIES
- ISSN
- 1996-1073
- Citation
- ENERGIES vol. 12, no. 12
- Keywords
- apartment unit; end-use energy consumption; estimation model; multiple regression analysis
- Publisher
- MDPI
- Indexed
- SCIE; SCOPUS
- Document Type
- Article
- Abstract
- The aim of this study was to develop a mathematical regression model for predicting end-use energy consumption in the residential sector. To this end, housing characteristics were collected through a field survey and in-depth interviews with residents of 71 households (15 apartment complexes) in Seoul, South Korea, and annual data on end-use energy consumption were collected from measurement systems installed within each apartment unit. Based on the data collected, correlativity between the field-survey data and end-use energy consumption was analyzed, and effective independent variables from the field-survey data were selected. Regression models were developed and validated for estimating six end uses of energy consumption: heating, cooling, domestic hot water (DHW), lighting, electric appliances, and cooking. Regression analysis for ventilation was not applied, and instead a calculation formula was derived, because the energy-consumption proportion was too low. The adj-R-2 of the estimation model ranged from 0.406 to 0.703, and the maximum error between measured and estimated values was around +/- 30%, depending on the end use.
- DOI
- 10.3390/en12122327
- Appears in Collections:
- 공과대학 > 건축도시시스템공학과 > Journal papers
- Files in This Item:
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Residential End-Use Energy.pdf(2.31 MB)
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